環境資源報告成果查詢系統

109年環境感測物聯網整合推動及專案管理計畫

中文摘要 在延續106年度至108年度環境感測物聯網相關計畫所建立的基礎下,本計畫持續協助環保署運用微型感測器建構智慧化環境管理系統。截至109年10月底已完成評估國內外物聯網現況之進度、持續蒐集國內外相關文獻並參考國際作法嘗試用於未來藍布建藍圖規劃上,追蹤國內布建感測器測項內容及廠牌等資訊;國產化PM2.5、NO2、O3感測模組已於完成測站比對作業,PM2.5感測器與測站數據迴歸分析R2約為0.4,利用人工類神經網路(Artificial Neural Networks, ANN)演算法調校後R2皆可達到0.65以上;擴大環境感測數據判讀與應用服務已針對感測數據進行校正測試、數據融合及衰減分析,結果顯示大部分感測器尚無顯著衰減現象,移動式感測器性能對於高污染車輛及道路側高污染來源具有顯著的辨識能力,可作為建立區域環境的基礎資料;與地方政府合辦進度,已陸續達成全國10,200感測器之布建及維運成效;持續促進公私部門交流及討論布建對策與精進措施,協助查驗地方政府維運感測器點位、數據品質滿意度,並依機關需求規劃及執行;專案辦公室已完成增修專案辦公室運作標準作業程序(Standard Operating Procedures, SOP)、問答集、空品物聯網110~114年度目標;完成106年~109年執行成果報告初版,且完成國際氣體感測發展等趨勢分析。故本計畫於109年2月執行至今,已達成100%之執行進度,並符合期末報告之要求。計畫已完成研析國際物聯網之發展趨勢、國產化感測元件技術的精進、擴大環境感測數據判讀與應用服務、整合驗證環境感測物聯網執行成效、協助地方政府感測物聯網建置工作、強化專案辦公室產業推動成果效益等工項,落實感測數據品質及應用效益,結合產官學研於物聯網技術共同成長,發展智慧城市與環境執法的應用實務,透過以臺灣為驗證場域,確實發揮輔助環境智慧執法的成效,同時也讓民眾明確感受到環境感測物聯網對環境治理的功能。
中文關鍵字 元件研發、智慧化巡檢、移動感測

基本資訊

專案計畫編號 經費年度 109 計畫經費 34000 千元
專案開始日期 2020/02/21 專案結束日期 2020/12/31 專案主持人 陳范倫
主辦單位 監資處 承辦人 黃健瑋 執行單位 財團法人工業技術研究院

成果下載

類型 檔名 檔案大小 說明
期末報告 109年成果報告.pdf 38MB

Environmental sensing Internet of Things integration promotion and project management plan 2020

英文摘要 As a continuation of the environment-sensing IoT (Internet of Things)-related projects during 2017-2019, the project has assisted the Environmental Protection Administration in building a micro sensor-based smart environment management system. As of the end of Oct. 2020, much work had been completed, including evaluation of the development of IoTs, both in Taiwan and abroad, collection of related domestic and foreign literature and information on foreign practices, as reference for deployment plans in the future, and tracking of domestic sensor deployment, including sensor brands; completion of survey-station comparisons for indigenous PM2.5, NO2, and O3 sensing modules, calibration of the correlation between sensing components and survey stations with ANN (artificial neural network) algorithm, with post-calibration data R2 topping 0.6; sensing data calibration and testing, data fusion, and attenuation analysis in expanding interpretation and application of environment sensing data, showing absence of obvious attenuation for most sensors and significant identification ability of mobile sensors for high polluting vehicles and road-side high polluting sources, conducive to the construction of basic regional-environment data; deployment and operation/maintenance of 10,200 sensors nationwide, in collaboration with municipal governments; continuing promotion of exchanges between private and public sectors, including discussion for deployment strategy and improvement measures, assistance for municipal governments in checking the operation and maintenance of sensors and data quality, plus tailor-made planning and implementation; setup of dedicated office which has compiled its own SOP (standard operation procedures) and Q&A and established 2021-2025 target for air-quality IoT; completion of the preliminary report on the 2017-2020 implementation results and analysis of the international air-sensing development trend. Therefore, since its onset in Feb. 2020, implementation rate of the project has reached 100%, meeting the condition for the compilation of a final report. In sum, completed works include analysis of the international IoT development trend, improvement of indigenous sensor technology, expanded interpretation and application of environmental sensing data, integrated verification of the execution result of environment sensing IoT, assistance for municipal governments in the establishment of sensing IoT, setup of dedicated office for pushing sensor industry and application, improving sensing data quality and application efficacy, coordination of the efforts of industry, government, and academic in the development of IoT technology, and materialization of smart city and environment-related law enforcement. With Taiwan as the verification field, the project has contributed to environment-related smart law enforcement and made local people aware of the function of environment sensing IoT in environmental governance.
英文關鍵字 Sensor Reaserch and development, Intelligent inspection, Mobile sensing